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Master's in Data Science Programs in South Carolina

If Carolina is calling, you're in the right place. Our guide to earning an SC data science degree has information on research and scholarships to jobs, meetups, and salary numbers.

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Syracuse University • Syracuse, NY

Master of Science in Applied Data Science

Enrollment Type

Full-Time and Part-Time

Length of Program

Complete in as few as 18 months

Credits

34

Admission Requirements

  • Bachelor's degree
  • Two letter of recommendation
  • Professional resume
  • Statement of purpose
  • Official transcripts
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Southern Methodist University • Dallas, TX

Master of Science in Data Science

Enrollment Type

Full-Time and Part-Time

Length of Program

Complete in as few as 20 months

Credits

33.5

Admission Requirements

  • Bachelor's degree
  • One letter of recommendation
  • Professional resume
  • Statement of purpose
  • Official transcripts
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University of California, Berkeley

Master of Information and Data Science

Enrollment Type

Full-Time and Part-Time

Length of Program

As few as 12 months

Credits

27

Admission Requirements

  • Official transcripts
  • Statement of Purpose
  • Two letters of recommendation
  • GRE not required
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The University of North Carolina at Chapel Hill • Chapel Hill, NC

Master of Applied Data Science

Enrollment Type

Full-Time and Part-Time

Length of Program

As few as 16 months

Credits

30

Admission Requirements

  • Online application
  • Application fee
  • Statement of purpose
  • Transcripts
  • Statement of purpose
  • Current résumé
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Hawaii Pacific University • Honolulu, HI

Master of Science in Data Science

Enrollment Type

Full-Time and Part-Time

Length of Program

12-24 months

Credits

36

Admission Requirements

  • Online application
  • Transcripts: Transcripts must be submitted from all postsecondary institutions. Unofficial transcripts can be submitted for application review. Official transcripts must be submitted by the time you register for your second term.
  • Résumé
  • Letters of recommendation (optional)
  • Essay (optional)
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Maryville University • St. Louis, MO

Master's in Data Science

Length of Program

As few as 12 months.

Admission Requirements

  • Simplified, no-cost online application
  • Official academic transcripts, including undergraduate (and, if applicable, graduate) transcripts showing courses taken and grades received from ANY college or university previously attended
  • Résumé
  • Essay of 300–500 words describing why you’re interested in the program, why you feel you’re qualified for graduate study and how earning this degree will be applicable to both your career and educational goals
  • English proficiency scores (International applicants may be required to submit scores that meet a certain threshold.)

Studying Data Science in South Carolina

Tech facilities like SC Innovation Hub and the South Carolina Research Authority (SCRA) are helping to fuel data science in the state. The Charleston Digital Corridor is becoming a worldwide phenomenon, biotech and life sciences sectors are humming, and the CharlestonWorks™ directory is packed with tech-related companies who are hiring. Google has a center in Berkeley County.

But we shouldn’t overlook the other ingenues. Greenville is home of the GSA Technology Council (GSATC); Columbia’s industries benefit from data work at the University of South Carolina (USC); Greenville is known for its advanced manufacturing; and Fort Mill is right next to the booming tech scene in Charlotte, NC. The state has a way to go before it’s famous, but it’s trying very hard.

Data Science Research & Initiatives at South Carolina Universities

When it comes to data science research, South Carolina universities often have initiatives:

But Clemson goes above and beyond. Its Social Media Listening Center is all over social technologies; the School of Computing has a number of data science research labs; the Watt Family Innovation Center is partnered with the SAS® Institute; and Clemson’s C-Light website maintains a catalog of international big data science programs.

Online Data Science Programs in South Carolina

South Carolina’s online offerings are pretty slim, but a few of the major universities are represented. If you’re worried about committing to a distance learning degree, take a quick glance at our advice on what to look for in an online data science program.

Online Graduate Certificates in Data Science

When it comes to online data science graduate certificates, there’s not much in South Carolina. Fortunately, a number of well-respected schools in other states (e.g. Northwestern, Purdue, Stanford) have developed programs. You’ll find them all in our directory of Online Graduate Certificates in Data Science.

Online Master’s Degrees in Data Science

South Carolina has multiple choices for master’s students:

  • If you love the theory and practice of analytics, USC’s online Master of Applied Statistics is a stats lover’s dream. The degree includes the option to take SAS® Certification electives.
  • If you’re interested in business, Clemson has a blended MBA in Business Analytics (part online, part on-campus) that tackles topics such as business intelligence (BI), data management and warehousing, information systems, and the like.
  • If you can’t get enough of healthcare data, MUSC’s online Master of Science in Health Informatics will make you an expert in electronic health records (EHRs), data management, and analytic systems.

Data Science Bootcamps in South Carolina

Data science and data analytics bootcamps are other options that may jump-start your career in the field. Bootcamps in South Carolina may focus exclusively on data science, the study of how information is drawn from data, or data analytics, the processes by which specific insights can be extracted—or both data science and data analytics. See our guides to learn more about data science bootcamps or data analytics bootcamps in South Carolina.

Data Science Scholarships in South Carolina

For this section, we focused on funding that specifically applied to the school’s data program. However, the university’s Graduate Studies Office will have more information on general aid (e.g. diversity scholarships) and alternative financing options. For example, in USC’s MAS program, students from Arkansas, Georgia, and Kentucky can apply for in-state tuition credits from the SREB’s Academic Common Market.

University of South Carolina-Columbia

Data Science Events in South Carolina

Data Science Meetups & Communities in South Carolina

Carolina is still building its data science community, but there are some Meetup options available. If you’re in the Fort Mill area, you can also take advantage of the scores of groups in Charlotte, NC.

  1. Charleston Data Science: This meetup features lots of talks and tutorials on tools & technologies (e.g. neural networks, machine learning in R, etc.).
  2. Charleston Women in Tech: It may not be as focused as some of the other meetups, but women data scientists will find a lot of support here. There are regular seminars, networking events, mentor luncheons, and volunteer opportunities.
  3. Greenville Data Science & Analytics: This group is open to data scientists of every level and interest (e.g. business analysis, SQL, R, etc.).
  4. Upstate Data Analytics: One for the Spartanburg geeks! This meetup is especially interested in R, but organizers are open to discussions on anything that’s relevant—Python, Javascript, SAS, Julia, SSPS, Stata, etc.

Data Science Conferences & Workshops in South Carolina

Like other smaller tech states, South Carolina hasn’t reached the point where it’s a regular stop for Predictive Analytics World (PAW), Strata+Hadoop World, and MLconf. But it’s not far from the Southern Data Science (SDC) in Atlanta, big data events in North Carolina, and conferences in Florida. If you can drive or fly, you’ve got options! More general events include:

  1. Charleston Angel Conference: A boutique matchmaking event for accredited investors and emerging companies.
  2. Dig South: Dig South is Charleston’s flagship tech event (and usually a pretty good party)! There’s an Innovation Conference, an invitation-only C-Level Summit for execs, and a Wild Pitch for growth-stage startups & accelerator grads. Bring your networking game.
  3. Gilbarco Retail Technology Conference (RTC): Held at Myrtle Beach, RTC covers the tools & technologies that give retailers a competitive advantage in the marketplace.

Data Science Jobs in South Carolina

Fancy the life in Silicon Harbor? You should be loving it. Boeing and Google have a sizeable presence in Charleston, but the city also plays host to innovative tech firms like:

  • Blackbaud, which develops software and services specifically designed for nonprofit organizations.
  • Catalytic Data Science, which has created a life sciences digital research platform.
  • Sales Analytics, Inc., which is a cloud-based business analytics platform for businesses with legacy computer equipment.

That’s not to mention all the startups. Or companies like KSH Solutions and CACI International that provide cyber security and engineering solutions to the federal government. Or the biotech firms. Or the aerospace sector. As we mentioned in the intro, the CharlestonWorks™ directory is a great place to start your job search.

Another center to keep an eye on is Fort Mill. There are a number of big banking and financial players in the area (e.g. Citigroup and LPL Financial Services) and the state has been active in luring tech businesses to the Lancaster County area.

If you’re in or around Columbia, the USC/Columbia Technology Incubator and BlueCross BlueShield are names you’ll probably be hearing a lot. The Greenville Area Development Corporation (GADC) also has a list of the city’s major employers.

Data Scientist Salaries in South Carolina

According to data from the O*NET OnLine in 2020, data scientists made an average $57,150 per year in South Carolina.

Interested in STEM Careers?

If you’re looking for information on career paths that involve STEM, see our guides below:

Data Science and Analytics Careers:

This page includes information from O*NET OnLine by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA.

Information last updated: April 2022